Rohit Prajapati

PhD Candidate, IIT Jodhpur  ·  Researcher, Shell R&D

I research streaming graph algorithms and distributed systems, with a focus on how graphs can serve as a unifying framework for real-time analytics, scalable computation, and efficient AI. My work spans algorithm design for dynamic graph problems, distributed frameworks for large-scale graph processing, and the application of graph-structured reasoning to AI systems. At Shell R&D, I build and optimize large-scale LLM inference and retrieval pipelines on HPC infrastructure, working at the boundary between systems research and applied AI.

Rohit Prajapati
Lately
Jun 2026
Attending SIGMOD/PODS 2026 in Bengaluru.
May 2026
Paper accepted at HPDC 2026 — SAGA: A Framework for State-Aware Streaming Graph Analytics.
Apr 2026
Paper accepted at SIGMOD 2026 — PJsim: Towards Precise and Scalable Graph Similarity.
Jan 2026
Paper accepted at ICDCN 2026 — A Precise and Closed-Form Solution for Edge-Ranking.
Aug 2025
Joined Shell R&D as Researcher in the Digital & Scientific HPC team.
Jan 2025
Started PhD at IIT Jodhpur, SPADE Research Lab.
Publications
HPDC 2026
SAGA: A Framework for State-Aware Streaming Graph Analytics
Rohit Prajapati, Prajjwal Nijhara, Dip Sankar Banerjee  ·  Cleveland, OH, USA
ACM International Symposium on High-Performance Parallel and Distributed Computing
DOI
@inproceedings{prajapati2026saga, author = {Prajapati, Rohit and Banerjee, Dip Sankar}, title = {SAGA: A Framework for State-Aware Streaming Graph Analytics}, booktitle = {Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing}, series = {HPDC '26}, year = {2026}, address = {Cleveland, OH, USA}, publisher = {ACM}, }
SIGMOD 2026
PJsim: Towards Precise and Scalable Graph Similarity
Prajjwal Nijhara, Jainan Tandel, Rohit Prajapati, Dip Sankar Banerjee  ·  Bangalore, India
ACM International Conference on Management of Data
DOI
@inproceedings{nijhara2026pjsim, author = {Nijhara, Prajjwal and Tandel, Jainan and Prajapati, Rohit and Banerjee, Dip Sankar}, title = {PJsim: Towards Precise and Scalable Graph Similarity}, booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data}, series = {SIGMOD '26}, year = {2026}, address = {Bangalore, India}, publisher = {ACM}, }
ICDCN 2026
A Precise and Closed-Form Solution for Edge-Ranking
Prajjwal Nijhara, Jainan Tandel, Rohit Prajapati, Dip Sankar Banerjee  ·  Nara, Japan
International Conference on Distributed Computing and Networking
DOI
@inproceedings{nijhara2026edgeranking, author = {Nijhara, Prajjwal and Tandel, Jainan and Prajapati, Rohit and Banerjee, Dip Sankar}, title = {A Precise and Closed-Form Solution for Edge-Ranking}, booktitle = {Proceedings of the International Conference on Distributed Computing and Networking}, series = {ICDCN '26}, year = {2026}, address = {Nara, Japan}, publisher = {ACM}, }